Data Center Technician - Server Operations

Data Center Technician, Server Operations Minimum qualifications: Experience with assembly of mechanical or electrical systems, or performing component-level repairs and troubleshooting on technical equipment. Experience with diagnosing and troubleshooting operating systems, computer hardware and server hardware. Experience with networking protocols. Ability to lift/move 50lb (23kg) of equipment and ability to exert yourself physically over extended periods of time, including frequent bending, kneeling, climbing, pushing/pulling and lifting. Ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required. Preferred qualifications: 4 years of experience in maintenance and monitoring of server systems. Experience with performing component-level repairs and troubleshooting on IT equipment or in a related role (e.g., Systems Administration, Network Deployment Engineer, Help Desk Technician, etc.). Experience working within a data center or network operation center environment. Experience with Linux operating systems. Experience in project management and leadership, and collaborating and partnering with teams. Ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required. Ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required. Ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required. Experience with Linux operating systems. Experience with Linux operating systems. About the job Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Responsibilities Deploy and operate new data center infrastructure across projects or teams (e.g. Machine Learning platforms, network architecture). Report issues and follow data center procedures to troubleshoot and diagnose moderately complex issues with equipment or infrastructure as they arise, and identify the resources needed to resolve identified issues. Diagnose, repair, and perform preventative maintenance on equipment, servers, machines, and infrastructure based on identified issues with multiple solutions, independently. Execute advanced operational procedures as part of daily work activities and follow security policies and processes. Work in shifts is required to meet evolving business needs and operational schedules.